| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1554 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 77.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1554 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "scanned" | | 1 | "perfect" | | 2 | "measured" | | 3 | "weight" | | 4 | "etched" | | 5 | "trembled" | | 6 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1561 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1211 | | uniqueNames | 7 | | maxNameDensity | 1.32 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 16 | | Mercer | 12 | | Morris | 1 | | Kowalski | 1 | | Aurora | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Mercer" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Aurora" |
| | places | (empty) | | globalScore | 0.839 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1561 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 27.88 | | std | 25.15 | | cv | 0.902 | | sampleLengths | | 0 | 79 | | 1 | 38 | | 2 | 30 | | 3 | 14 | | 4 | 36 | | 5 | 6 | | 6 | 46 | | 7 | 11 | | 8 | 9 | | 9 | 7 | | 10 | 43 | | 11 | 10 | | 12 | 72 | | 13 | 18 | | 14 | 5 | | 15 | 61 | | 16 | 38 | | 17 | 10 | | 18 | 53 | | 19 | 16 | | 20 | 95 | | 21 | 3 | | 22 | 23 | | 23 | 2 | | 24 | 13 | | 25 | 59 | | 26 | 15 | | 27 | 3 | | 28 | 38 | | 29 | 70 | | 30 | 1 | | 31 | 57 | | 32 | 16 | | 33 | 5 | | 34 | 7 | | 35 | 74 | | 36 | 3 | | 37 | 2 | | 38 | 61 | | 39 | 23 | | 40 | 5 | | 41 | 4 | | 42 | 21 | | 43 | 5 | | 44 | 23 | | 45 | 75 | | 46 | 5 | | 47 | 14 | | 48 | 6 | | 49 | 39 |
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| 87.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 119 | | matches | | 0 | "was unbroken " | | 1 | "been placed" | | 2 | "was etched" | | 3 | "been interrupted" | | 4 | "been placed" | | 5 | "was smeared " |
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| 98.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 198 | | matches | | 0 | "was not pointing" | | 1 | "was looking" | | 2 | "was not wearing" |
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| 12.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 153 | | ratio | 0.046 | | matches | | 0 | "The grime lay thick, decades of neglect, and around the body it was unbroken — a perfect, untouched field of dust." | | 1 | "The dead man's coat was expensive — dark wool, a maker's mark inside the collar that she recognised but didn't name." | | 2 | "She looked at the tunnel mouth beyond the body — a black arch swallowing the lamplight." | | 3 | "The casing wore a patina of verdigris, green and crusted, and the face was etched with symbols she had never seen — whorls and angles that caught the light wrong, like they were cut deeper than the metal could hold." | | 4 | "She was looking at the floor again, at the faint pale residue she had noticed earlier — a thin, almost invisible line of chalk or ash that ran in a rough circle around the body, broken where the maintenance crew had walked through it." | | 5 | "And near the tunnel mouth, the ash was smeared — dragged through, scuffed, as if something had crossed the boundary and stepped on the line on its way out." | | 6 | "She thought of Morris — of his closed office door, of the box of his effects she had gone through alone, three years ago, looking for answers she hadn't found." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 451 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.031042128603104215 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004434589800443459 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 10.2 | | std | 8.42 | | cv | 0.825 | | sampleLengths | | 0 | 10 | | 1 | 24 | | 2 | 24 | | 3 | 4 | | 4 | 4 | | 5 | 13 | | 6 | 22 | | 7 | 16 | | 8 | 13 | | 9 | 17 | | 10 | 9 | | 11 | 5 | | 12 | 13 | | 13 | 23 | | 14 | 6 | | 15 | 13 | | 16 | 16 | | 17 | 2 | | 18 | 5 | | 19 | 5 | | 20 | 3 | | 21 | 2 | | 22 | 11 | | 23 | 6 | | 24 | 3 | | 25 | 7 | | 26 | 4 | | 27 | 21 | | 28 | 18 | | 29 | 6 | | 30 | 4 | | 31 | 6 | | 32 | 7 | | 33 | 5 | | 34 | 2 | | 35 | 17 | | 36 | 6 | | 37 | 12 | | 38 | 17 | | 39 | 10 | | 40 | 8 | | 41 | 5 | | 42 | 3 | | 43 | 2 | | 44 | 24 | | 45 | 32 | | 46 | 12 | | 47 | 26 | | 48 | 5 | | 49 | 5 |
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| 54.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3790849673202614 | | totalSentences | 153 | | uniqueOpeners | 58 | |
| 96.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 104 | | matches | | 0 | "Just the slow, deliberate drip" | | 1 | "Instead, the body was here," | | 2 | "Then the inner breast pocket," |
| | ratio | 0.029 | |
| 77.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 104 | | matches | | 0 | "He turned the screen toward" | | 1 | "He gestured at the body" | | 2 | "His jaw was slack, his" | | 3 | "She didn't look away from" | | 4 | "His pen went still." | | 5 | "She lifted the nearest one." | | 6 | "He had been placed here" | | 7 | "He looked up." | | 8 | "She measured the stain with" | | 9 | "He didn't argue when the" | | 10 | "She circled the body, keeping" | | 11 | "His shoes were polished, scuffed" | | 12 | "She looked at the tunnel" | | 13 | "Her hand went to her" | | 14 | "She did that without thinking." | | 15 | "He gave her a look," | | 16 | "He was careful, gloved, professional." | | 17 | "He found nothing in the" | | 18 | "It trembled, then swung, and" | | 19 | "It stayed fixed, aimed at" |
| | ratio | 0.356 | |
| 12.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 104 | | matches | | 0 | "The morning had not yet" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The body lay thirty feet" | | 3 | "DS Mercer stood over it," | | 4 | "He turned the screen toward" | | 5 | "Quinn stopped at the edge" | | 6 | "He gestured at the body" | | 7 | "Quinn stepped closer and looked" | | 8 | "The man lay on his" | | 9 | "His jaw was slack, his" | | 10 | "A fall left you crumpled." | | 11 | "A collapse left you twisted." | | 12 | "This was placement." | | 13 | "She didn't look away from" | | 14 | "Mercer scanned the platform floor" | | 15 | "His pen went still." | | 16 | "The grime lay thick, decades" | | 17 | "The only prints in it" | | 18 | "The man's hands lay open," | | 19 | "She lifted the nearest one." |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "His jaw was slack, his eyes closed, as if someone had arranged him for a coffin." | | 1 | "The casing wore a patina of verdigris, green and crusted, and the face was etched with symbols she had never seen — whorls and angles that caught the light wron…" | | 2 | "She was looking at the floor again, at the faint pale residue she had noticed earlier — a thin, almost invisible line of chalk or ash that ran in a rough circle…" | | 3 | "She looked at it, and she looked at the ash circle, and she looked at the body of a man in an expensive coat with a gold ring on his finger and no wallet in his…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn took, careful" | | 1 | "Mercer said, slow" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 0.5 | | effectiveRatio | 0.038 | |